“…You will: Further your programming and analytical skills with Python Solve mathematical problems in calculus, and set theory and algebra with Python Work with various libraries in Python to structure, analyze, and visualize data Tackle real-life case studies using Python Review essential statistical concepts and use the Scipy library to solve problems in statistics …”

“…You will also be introduced to some upcoming C++17 additions including language features such as `constexpr` lambdas, and library additions such as the new algebraic data types and metaprogramming utilities. …”

“…Readers benefit from having a good background in linear algebra, some exposure to probability, and basic familiarity with Python…”

“…There are no mathematical prerequisites beyond college algebra and no formal computer science prerequisite for almost all of this text. …”

“…Metric theory has undergone a dramatic phase transition in the last decades when its focus moved from the foundations of real analysis to Riemannian geometry and algebraic topology, to the theory of infinite groups and probability theory. …”

“…Prerequisite knowledge includes linear algebra, matrix theory, control systems, and nonlinear systems…”

“…Coverage includes Preparing your computer to run CUDA programs Understanding CUDA’s parallelism model and C extensions Transferring data between CPU and GPU Managing timing, profiling, error handling, and debugging Creating 2D grids Interoperating with OpenGL to provide real-time user interactivity Performing basic simulations with differential equations Using stencils to manage related computations across threads Exploiting CUDA’s shared memory capability to enhance performance Interacting with 3D data: slicing, volume rendering, and ray casting Using CUDA libraries Finding more CUDA resources and code Realistic example applications include Visualizing functions in 2D and 3D Solving differential equations while changing initial or boundary conditions Viewing/processing images or image stacks Computing inner products and centroids Solving systems of linear algebraic equations Monte-Carlo computations…”

“…Key topics covered include: Recursion and tail recursion Pattern matching and algebraic datatypes Persistent structures and immutability Higher-order functions and lambda expressions Lazy evaluation and streams Threads and thread pools Atomicity and locking Synchronization and thread-safe objects Lock-free, non-blocking patterns Futures, promises, and functional-concurrent programming As a bonus, the book includes a discussion of common typing strategies used in modern programming languages, including type inference, subtyping, polymorphism, type classes, type bounds, and type variance. …”

“…Numerical C starts with the quadratic formula for finding solutions to algebraic equations that model things such as price vs. demand or rise vs. run or slip and more. …”

“…Most of the text assumes no knowledge of subject matter past first year calculus and linear algebra. With its independent chapter structure and rich choice of topics, a variety of syllabi for different courses at the junior, senior, and graduate levels can be supported. …”

“…Intermediate knowledge of Python programming and some fundamental knowledge of linear algebra and probability will help…”

“…These effects translate into changes in productivity, labor supply, prices and income. A complete algebraic specification of the model is provided, along with details of implementation and a discussion of data resources needed for model calibration and application in policy analysis…”

“…Work through a series of short exercises to find and compose pure functions, and create data structures that work like algebra. Get rid of mutable state in your software to eliminate the main source of bugs. …”

“…Esta atención a las intuiciones mathematicas lleva a considerar geometría y algebra como una forma de espiritualidad, que hace capaz de entender la finitud del mundo…”

“…Marx y sus discípulos admiraron la dialéctica de Hegel, por creer que, como dijo Lenin, es «el álgebra de la revolución». Los constructores del Brasil moderno tomaron del Comte maduro su consigna Ordem e progresso, porque resumía el ideal de los terratenientes ilustrados. …”
Texto completo en Odilo

“…El libro se ha dividido en trece capítulos, que van desde una breve introducción histórica de la materia hasta el teorema de factorización de Weierstrass, pasando por la descripción del álgebra y la topología del plano complejo, el estudio de la diferenciabilidad, analiticidad, integración, familias de funciones, representación conforme y funciones armónicas. …”

“…Helpful to have high school level chemistry, mathematics (algebra), and programming. An introductory level of understanding Python is sufficient to read the code presented to illustrate quantum chemistry and computing…”

“…Basics of wireless communication: applications, history, and the central role of signal processing Digital communication essentials: components, channels, distortion, coding/decoding, encryption, and modulation/demodulation Signal processing: linear time invariant systems, probability/random processes, Fourier transforms, derivation of complex baseband signal representation and equivalent channels, and multi-rate signal processing Least-squared estimation techniques that build on the linear algebra typically taught to electrical engineering undergraduates Complex pulse amplitude modulation: symbol mapping, constellations, signal bandwidth, and noise Synchronization, including symbol, frame, and carrier frequency offset Frequency selective channel estimation and eq..…”

“…The first part covers probability; statistics; linear algebra; optimization; and signals, systems, and transforms. …”

“…General Topics and Subject Areas, Organized by Chapter Introduction to Problem Solving with Mathematical Software Packages Basic Principles and Calculations Regression and Correlation of Data Introduction to Problem Solving with Excel Introduction to Problem Solving with MATLAB Advanced Problem-Solving Techniques Thermodynamics Fluid Mechanics Heat Transfer Mass Transfer Chemical Reaction Engineering Phase Equilibrium and Distillation Process Dynamics and Control Biochemical Engineering Practical Aspects of Problem-Solving Capabilities Simultaneous Linear Equations Simultaneous Nonlinear Equations Linear, Multiple Linear, and Nonlinear Regressions with Statistical Analyses Partial Differential Equations (Using the Numerical Method of Lines) Curve Fitting by Polynomials with Statistical Analysis Simultaneous Ordinary Differential Equations (Including Problems Involving Stiff Systems, Differential-Algebraic Equations, and Parameter Estimation in Systems of Ordinary Differential Equations) The Book's Web Site (http://www.problemsolvingbook.com) Provides solved and partially solved problem files for all three software packages, plus additional materials Describes discounted purchase options for educational version of POLYMATH available to book purchasers Includes detailed, selected problem solutions in MapleTM, Mathcad®, and MathematicaTM…”